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Senior Machine Learning Engineer Jobs in Ontario

Senior Machine Learning Engineer Hourly Rat e: 80-100/hr Location : Remote Length : 6 month contract (long term potential) Your New Company Our client is a fast-paced, product-led business building ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...

Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python ...

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Senior Machine Learning Engineer information

See Ontario salary details

$45K

$165.3K

$248.5K

How much do senior machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for senior machine learning engineer in Ontario is $165,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $184,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Ontario? The most popular types of Machine Learning Engineer jobs in Ontario are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Ontario? For Senior Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Senior Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Senior Machine Learning Engineer jobs? Cities in Ontario with the most Senior Machine Learning Engineer job openings:
Sr Machine Learning Engineer

Sr Machine Learning Engineer

Hays

Remote

Other

Posted 16 days ago


Job description

Role: Senior Machine Learning Engineer

Hourly Rate: 80-100/hr

Location: Remote

Length: 6 month contract (long term potential)


Your New Company

Our client is a fast-paced, product-led business building advanced machine learning capabilities to drive smarter customer targeting, stronger forecasting, and better advertising performance. You’ll join a team working on meaningful ML use cases with clear commercial impact, in an environment that values experimentation, hands-on delivery, and scalable engineering practices.


Your New Role

As the Senior Machine Learning Engineer, you will design, build, and optimize machine learning solutions across a number of high-value use cases. The role has a strong focus on time series forecasting, optimization, look-alike audience creation, ML models for ad relevancy, and click-through-rate (CTR) modeling. You’ll work closely with cross-functional stakeholders to productionize models, improve performance, and help shape scalable ML workflows in a cloud-based environment.


What You’ll Need to Succeed

To be considered, you’ll need strong hands-on experience as a Machine Learning Engineer with deep exposure to time series forecasting and applied ML in production settings. You should bring experience working in GCP or another cloud environment, ideally with exposure to Vertex AI. The team is also looking for someone with general knowledge of LLMs and FastAPI, along with strong programming ability in Python, Go, and SQL. Experience applying ML to advertising, audience modeling, relevance, ranking, or optimization problems will be highly valued.


What You’ll Get in Return

In return, you’ll have the chance to work on impactful ML initiatives in a high-visibility role where your work will directly influence product and business performance. You’ll join a collaborative environment that values strong engineering, practical ML application, and innovation across modern cloud and AI tooling.


What You Need to Do Now

If you’re a senior-level ML Engineer with strong forecasting experience and a track record of delivering production ML solutions, apply now or reach out directly for a confidential discussion.